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burn-ir

v0.20.1 Experimental

Intermediate representation for the Burn framework

MIT OR Apache-2.0 Edition 2024
Science #machine-learning#tensor#deep-learning

Quick Verdict

  • โœ“Actively maintained (updated 25d ago)
  • !Pre-1.0: API may have breaking changes
  • โœ“Trusted by 118 crates
  • โœ“Tiny footprint (44KB, 3 deps)
  • โœ“Permissive license (MIT OR Apache-2.0)

Security

Checking security advisories...
Downloads
369.7K
Dependents
118
Releases
15
Size
44KB

Deep Insights

๐Ÿ“Š
Steady growth

66.3K downloads in the last 30 days (2.2K/day), up 1% from the previous period.

๐Ÿ”—
Moderate adoption

118 crates depend on burn-ir. Reasonable ecosystem adoption, though not yet a core dependency.

๐Ÿ‘ค
Prolific maintainer

The primary maintainer publishes 112 crates. This suggests deep Rust expertise and long-term commitment to the ecosystem.

๐Ÿชถ
Minimal dependencies

Only 3 direct dependencies. Lean dependency tree means faster builds and lower supply chain risk.

๐Ÿ“
Compact crate

At 43KB, burn-ir is lightweight. Small crate size correlates with focused, well-scoped functionality.

๐ŸŒŸ
Used by top crates

Notable dependents include burn, burn-ndarray, burn-fusion, burn-router, burn-cubecl. When high-quality crates choose burn-ir, it's a strong quality signal.

Health Breakdown

Maintenance 18/25

Recency, release consistency, active ratio

Quality 16/25

Yanked ratio, deps, size, maturity, features

Community 11/20

Reverse deps, ownership, ecosystem

Popularity 7/15

Downloads, momentum, growth trend

Documentation 13/15

Docs, repo, license, metadata

Download Trend

Daily downloads ยท last 90 days
2K/day avg+22%
01K2K3K12/291/162/32/213/113/28

Top Dependents

Version Adoption

v0.18.0
36%
v0.17.1
36%
v0.19.1
13%
v0.20.1
13%
v0.17.0
2%

Release Timeline

15 releasessince 2025
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Feature Flags

default =["std"]

docstd*tracing

README

Loading README...

Maintainers

Dependencies
3
direct dependencies
Dependents
118
crates depend on burn-ir

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